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Hongfang Liu

Professor and Chair

The University of Texas Health Science Center at Houston

United States

Research Interests

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Professors in United States Professors in Medical Imaging Medical Imaging professors in United States

Articles (16)

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2026

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2023

Collaborators (16)

Yonghui Wu

Professor

University of Florida

UNITED STATES

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Holger Eltzschig

Professor and Chairman

McGovern Medical School at UTHealth

UNITED STATES

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Sunyang Fu

Assistant Professor

The University of Texas Health Science Center at Houston

UNITED STATES

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Yafen Liang

UNITED STATES

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Andrew I. Su

Professor

Scripps Research Institute

UNITED STATES

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Jeffrey R. Bishop

UNITED STATES

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Mattina Davenport

Assistant Professor

Nationwide Children's Hospital

UNITED STATES

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Cindy McCarthy

Associate Professor/Director, Bioethics Certificate

University of Pittsburgh

UNITED STATES

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Thomas M Powers

Associate Professor

University of Delaware

UNITED STATES

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William Hersh

Professor

Oregon Health & Science University

UNITED STATES

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Chunlei Wu

Associate Professor of Molecular Medicine

Scripps Research Institute

UNITED STATES

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Nahid J. Rianon

UNITED STATES

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Sameer Murali

Obesity Medicine/Associate Professor

The University of Texas Health Science Center at Houston

UNITED STATES

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Cathy Wu

Unidel Edward G. Jefferson Chair in Engineering and Computer Science

University of Delaware

UNITED STATES

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Xiaoyang Ruan

Assistant Professor

University of Texas at Austin

UNITED STATES

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Christopher Bartlett

Associate Chief Data Sciences Officer & Professor

Ohio State University

UNITED STATES

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Hongfang Liu

Research Interests

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Articles (16)

Desiderata for a biomedical knowledge network: opportunities, challenges and future directions

Development of a rule-based natural language processing algorithm to extract sleep information in pediatric primary care patients with a sleep diagnosis

MedADL: high-throughput information extraction of functional status from electronic health records to advance frailty assessment in older adults

Prognostic Modeling of 1-Year Survival in Hepatocellular Carcinoma: A Comparative Evaluation of Machine Learning Methods with Class Balancing

Clinical document metadata extraction: A scoping review

Towards Optimal Prompt Design for Clinical Information Extraction using Large Language Models

A kernel density estimation-based approach for quantifying O-GlcNAcylation dysregulation in cancer from gene expression data

Deep Phenotyping of Obesity: Electronic Health Record–Based Temporal Modeling Study

Scaling up biomedical vision-language models: Fine-tuning, instruction tuning, and multi-modal learning

Impact of perioperative organ injury on morbidity and mortality in 28 million surgical patients

Gated recurrent unit with decay has real-time capability for postoperative ileus surveillance and offers cross-hospital transferability

Dynamic few-shot prompting for clinical note section classification using lightweight, open-source large language models

Predicting cancer survival at different stages: Insights from fair and explainable machine learning approaches

Improving Dietary Supplement Information Retrieval: Development of a Retrieval-Augmented Generation System With Large Language Models

Leveraging artificial intelligence-mediated communication for cancer prevention and control and drug addiction: A systematic review

MLGAN: a Meta-Learning based Generative Adversarial Network adapter for rare disease differentiation tasks

Collaborators (16)

Yonghui Wu

Holger Eltzschig

Sunyang Fu

Yafen Liang

Andrew I. Su

Jeffrey R. Bishop

Mattina Davenport

Cindy McCarthy

Thomas M Powers

William Hersh

Chunlei Wu

Nahid J. Rianon

Sameer Murali

Cathy Wu

Xiaoyang Ruan

Christopher Bartlett

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